Date recognition based on multi feature extraction
Drug production date and expiration date are important indicators to measure the safety and effectiveness of drugs.The production date and validity period of liquid drugs in vertical bags are printed with numbers of 0～9.The recognition of the drug date of the hospital needs to meet the requirements...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | zho |
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China InfoCom Media Group
2022-09-01
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| Series: | 物联网学报 |
| Subjects: | |
| Online Access: | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2022.00286/ |
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| _version_ | 1841533811664355328 |
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| author | Min WANG Jia WU Shuo SUN Sheng LI Kang WANG |
| author_facet | Min WANG Jia WU Shuo SUN Sheng LI Kang WANG |
| author_sort | Min WANG |
| collection | DOAJ |
| description | Drug production date and expiration date are important indicators to measure the safety and effectiveness of drugs.The production date and validity period of liquid drugs in vertical bags are printed with numbers of 0～9.The recognition of the drug date of the hospital needs to meet the requirements of high speed and accuracy.The conventional template matching method and neural network recognition method have large amount of calculation and complex training.A drug date recognition method was proposed based on multi feature extraction.The combination of vertical line feature and three features for fine feature extraction of different digital characters has advantages of small amount of calculation and fast recognition speed.Compared with the recognition method of single extracted feature, it can effectively distinguish 10 different numbers, especially suitable for numbers of similar shape.It can provide patients with safe drug use guarantee, improve the management mode of the medical staff, improve the work efficiency, so as to improve the level of the pharmaceutical service of the hospital. |
| format | Article |
| id | doaj-art-588a92c2f8724e3c8aeeb1741a2d7e28 |
| institution | Kabale University |
| issn | 2096-3750 |
| language | zho |
| publishDate | 2022-09-01 |
| publisher | China InfoCom Media Group |
| record_format | Article |
| series | 物联网学报 |
| spelling | doaj-art-588a92c2f8724e3c8aeeb1741a2d7e282025-01-15T02:53:50ZzhoChina InfoCom Media Group物联网学报2096-37502022-09-01614615259651135Date recognition based on multi feature extractionMin WANGJia WUShuo SUNSheng LIKang WANGDrug production date and expiration date are important indicators to measure the safety and effectiveness of drugs.The production date and validity period of liquid drugs in vertical bags are printed with numbers of 0～9.The recognition of the drug date of the hospital needs to meet the requirements of high speed and accuracy.The conventional template matching method and neural network recognition method have large amount of calculation and complex training.A drug date recognition method was proposed based on multi feature extraction.The combination of vertical line feature and three features for fine feature extraction of different digital characters has advantages of small amount of calculation and fast recognition speed.Compared with the recognition method of single extracted feature, it can effectively distinguish 10 different numbers, especially suitable for numbers of similar shape.It can provide patients with safe drug use guarantee, improve the management mode of the medical staff, improve the work efficiency, so as to improve the level of the pharmaceutical service of the hospital.http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2022.00286/expiry datecharacter recognitionEuler numberhorizontal line characteristicsvertical line feature |
| spellingShingle | Min WANG Jia WU Shuo SUN Sheng LI Kang WANG Date recognition based on multi feature extraction 物联网学报 expiry date character recognition Euler number horizontal line characteristics vertical line feature |
| title | Date recognition based on multi feature extraction |
| title_full | Date recognition based on multi feature extraction |
| title_fullStr | Date recognition based on multi feature extraction |
| title_full_unstemmed | Date recognition based on multi feature extraction |
| title_short | Date recognition based on multi feature extraction |
| title_sort | date recognition based on multi feature extraction |
| topic | expiry date character recognition Euler number horizontal line characteristics vertical line feature |
| url | http://www.wlwxb.com.cn/zh/article/doi/10.11959/j.issn.2096-3750.2022.00286/ |
| work_keys_str_mv | AT minwang daterecognitionbasedonmultifeatureextraction AT jiawu daterecognitionbasedonmultifeatureextraction AT shuosun daterecognitionbasedonmultifeatureextraction AT shengli daterecognitionbasedonmultifeatureextraction AT kangwang daterecognitionbasedonmultifeatureextraction |